| Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images M Yamac, M Ahishali, A Degerli, S Kiranyaz, MEH Chowdhury, ... IEEE Transactions on Neural Networks and Learning Systems, 2020 | 112 | 2020 |
| COVID-19 Infection Map Generation and Detection from Chest X-Ray Images A Degerli, M Ahishali, M Yamac, S Kiranyaz, MEH Chowdhury, K Hameed, ... Health Information Science and Systems, 2020 | 94 | 2020 |
| Advance Warning Methodologies for COVID-19 using Chest X-Ray Images M Ahishali, A Degerli, M Yamac, S Kiranyaz, MEH Chowdhury, K Hameed, ... IEEE Access, 2020 | 67* | 2020 |
| Early Detection of Myocardial Infarction in Low-Quality Echocardiography A Degerli, M Zabihi, S Kiranyaz, T Hamid, R Mazhar, R Hamila, ... IEEE Access, 2021 | 60 | 2021 |
| Compressively sensed image recognition A Değerli, S Aslan, M Yamac, B Sankur, M Gabbouj 2018 7th European Workshop on Visual Information Processing (EUVIP), 1-6, 2018 | 33 | 2018 |
| Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection S Kiranyaz, A Degerli, T Hamid, R Mazhar, R Ahmed, R Abouhasera, ... IEEE Access, 2020 | 30 | 2020 |
| Multilinear Compressive Learning DT Tran, M Yamaç, A Degerli, M Gabbouj, A Iosifidis IEEE Transactions on Neural Networks and Learning Systems, 2020 | 24 | 2020 |
| OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images A Degerli, S Kiranyaz, MEH Chowdhury, M Gabbouj 2022 IEEE International Conference on Image Processing (ICIP), 2022 | 18 | 2022 |
| Reliable Covid-19 Detection using Chest X-Ray Images A Degerli, M Ahishali, S Kiranyaz, MEH Chowdhury, M Gabbouj 2021 IEEE International Conference on Image Processing (ICIP), 2021 | 13 | 2021 |
| Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography A Degerli, F Sohrab, S Kiranyaz, M Gabbouj 2022 Computing in Cardiology (CinC), 2022 | 11 | 2022 |
| Early Myocardial Infarction Detection over Multi-view Echocardiography A Degerli, S Kiranyaz, T Hamid, R Mazhar, M Gabbouj Biomedical Signal Processing and Control, 2021 | 11 | 2021 |
| Biosignal time-series analysis S Kiranyaz, T Ince, MEH Chowdhury, A Degerli, M Gabbouj Deep Learning for Robot Perception and Cognition, 491-539, 2022 | 3 | 2022 |
| SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection using Multi-View Echocardiography I Adalioglu, M Ahishali, A Degerli, S Kiranyaz, M Gabbouj 2023 Computing in Cardiology (CinC), 2023 | 1 | 2023 |
| Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification MU Zahid, A Degerli, F Sohrab, S Kiranyaz, M Gabbouj arXiv preprint arXiv:2402.06530, 2024 | | 2024 |
| Machine Learning Algorithms for Computer-aided Diagnosis of Myocardial Infarction from 2D Echocardiography and COVID-19 from Chest X-rays A Degerli Ahishali Tampere University, 2024 | | 2024 |
| MAMAF-Net: Motion-Aware and Multi-Attention Fusion Network for Stroke Diagnosis A Degerli, P Jäkälä, J Pajula, M Immonen, MB Lopez Biomedical Signal Processing and Control, 2023 | | 2023 |
| R2C-GAN: Restore-to-Classify GANs for Blind X-Ray Restoration and COVID-19 Classification M Ahishali, A Degerli, S Kiranyaz, T Hamid, R Mazhar, M Gabbouj arXiv preprint arXiv:2209.14770, 2022 | | 2022 |
| Medical image analysis A Degerli, M Yamac, M Ahishali, S Kiranyaz, M Gabbouj Deep Learning for Robot Perception and Cognition, 541-577, 2022 | | 2022 |
| System for Early Detection of Myocardial Infarction A Degerli | | 2019 |
Moncef GabboujProfessor, Tampere University在 tuni.fi 的电子邮件经过验证
